摘要
图像去噪是图像处理中十分重要的环节,基于偏微分方程与维纳滤波模型的图像去噪技术则有着强大的数学理论作为支撑,是图像去噪环节中十分重要的研究方法.针对图像中的噪声问题,利用TV全变分偏微分方程模型与维纳滤波模型相结合的方法对含噪图像进行去噪处理.仿真实验验证了该方法的可行性,并通过实验结果表明,该方法对于恢复图像、提高图像信噪比和保持图像边缘细节上有着良好的效果.
Image denoising is a very important part of image processing.Image denoising technology based on partial differential equations and Wiener filter model is supported by powerful mathematical theory and is a very important research method in image denoising.Aiming at the noise problem in the image,the method of combining the TV total variation partial differential equation model and the Wiener filter model is used to denoise the noisy image.Simulation experiments verify the feasibility of the method,and the experimental results show that the method has good effects on restoring images,improving image signal-to-noise ratio and maintaining image edge details.
作者
刘光宇
曾志勇
曹禹
赵恩铭
邢传玺
LIU Guangyu;ZENG Zhiyong;CAO Yu;ZHAO Enming;XING Chuanxi(School of Engineering,Dali University,Dali 671003,China;School of Physics and Optoelectronic Engineering,Harbin Engineering University,Harbin 150001,China;School of Electrical Information Engineering,Yunnan Nationalities University,Kunming 650031,China)
出处
《四川职业技术学院学报》
2022年第2期163-168,共6页
Journal of Sichuan Vocational and Technical College
基金
国家自然科学基金项目“基于无线传感器网络的云南高原湖泊声层析监测关键技术研究”(61761048)
云南省地方本科高校基础研究联合专项资金项目“基于谱聚类的水下目标探测关键技术研究”(2019FH001(-066))
黑龙江省自然科学基金“基于自旋交换泵浦技术的高透过率、超窄带原子滤光器的研究”(LC2018026)。
关键词
图像去噪
偏微分方程
TV模型
维纳滤波
image denoising
partial differential equations
TV model
wiener filter
